Silicon Investor (SI) -- The First Internet Community

STOCKTALK

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor. We ask that you disable ad blocking while on Silicon Investor in the best interests of our community. If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.

Gold/Mining/Energy : Winspear Diaminds (Bulls Board) -- Ignore unavailable to you. Want to Upgrade?

To: Gord Bolton who wrote (822)	5/18/1999 7:39:00 PM
From: .Trev	Respond to of 1172

The pool where I take my daily swim has a blackboard for the day's pithy saying. Today's was to the effect that "We can make ourselves miserable or we can make ourselves strong, The amount of work involved remains the same" Sometimes you guys remind me of a dog with a bone... still worrying at it long after the good stuff is gone. We're not even half way through the processing yet. Still about two and a half weeks to go even if nothing has gone wrong like (the crusher jamming up with broken large stone fragments) Then there's the valuation period Be of good cheer ladies and gentlemen, and AJ.

To: Gord Bolton who wrote (822)	5/18/1999 7:53:00 PM
From: WillP	Respond to of 1172

Mr. Bolton: I have read and re-read your post. I don't think there is a single thing you have suggested that I would take issue with. I've been trying to say that here there and everywhere, all along. :-) But! I'm not sure I understand the significance of a statistical tool that isn't statistically relevant. It's probably why you hate statistics. Some days, so do I. Regards, WillP

To: Gord Bolton who wrote (822)	5/19/1999 12:17:00 AM
From: Rick the Vet	Read Replies (1) \| Respond to of 1172

I agree with your thought pattern 100%. The problem I see is with plotting the microdiamonds from the cores onto a logarithmic scale. One problem is that there will be many stones which can fit into more than one size and quality category and thus the sample results could be easily skewed. The other problem I have is with clustering and populations of micros which are not evenly distributed about the mean. These factors make prediction of grade very difficult. But not impossible. It will be interesting to see if they have developed a predictive model based on the closely spaced holes in the pit areas. Once they have the bulk results they will be able to "check" their model and use it to predict the grade for the entire kimberlite system. I wonder if such a model will be used to argue for a higher price if a buyout becomes apparent.